Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data

Abstract: Nowadays, outsourcing data and machine learning tasks, e.g., $k$ -nearest neighbor (KNN) classification, to clouds has become a scalable and cost-effective ...
IEEE

Efficient kNN Classification With Different Numbers of Nearest Neighbors

Abstract: k nearest neighbor (kNN) method is a popular classification method in data mining and statistics because of its simple implementation and significant classification performance. However, it ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
GitHub

Voice Conversion With Just Nearest Neighbors (kNN-VC)

The official code repo! This repo contains training and inference code for kNN-VC -- an any-to-any voice conversion model from our paper, "Voice Conversion With Just k-Nearest Neighbors". The trained ...
GitHub

knn-python

This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: ...
InfoWorld

How to use Python’s py launcher for Windows

The Windows version of the Python interpreter can be run from the command line the same way it’s run in other operating systems, by typing python or python3 at the prompt. But there’s a feature unique ...